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    A point process model of respiratory dynamics in early physiological development

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    Authors
    Indic, Premananda
    Paydarfar, David
    Barbieri, Riccardo
    UMass Chan Affiliations
    Department of Neurology
    Document Type
    Journal Article
    Publication Date
    2011-08-30
    Keywords
    interbreath interval
    breathing dynamics
    irregularity
    neurophysiology
    Biomedical Engineering and Bioengineering
    Circulatory and Respiratory Physiology
    Medical Physiology
    Neurology
    Physiological Processes
    Respiratory System
    
    Metadata
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    Link to Full Text
    https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3340562/
    Abstract
    Interbreath interval (IBI), the time interval between breaths, and its variations in time around the mean, the IBI variability, are important measures associated with irregularity of breathing. The IBI histogram generally follows a power law distribution with its characterizing parameters changing with maturation. To assess the dynamics of breathing we propose a point process model of IBI with a lognormal parametric structure to appropriately represent the stochastic nature of the IBI distribution. We estimate the time varying evolution of the characterizing parameters to represent the dynamic nature of breathing, and thereby provide a time-varying measure of irregularity in breathing. The reliability of the model to capture the data is assessed using Kolmogorov-Smirnov (KS) and independence tests. Our results validate the novel approach in the assessment of the irregularity of breathing by analyzing respiratory recordings from newborn rats and preterm infants.
    Source

    Indic P, Paydarfar D, Barbieri R. A point process model of respiratory dynamics in early physiological development. Conf Proc IEEE Eng Med Biol Soc. 2011;2011:3804-7. doi: 10.1109/IEMBS.2011.6090771. PMID: 22255168; PMCID: PMC3340562. Link to article on publisher's site

    DOI
    10.1109/IEMBS.2011.6090771
    Permanent Link to this Item
    http://hdl.handle.net/20.500.14038/29527
    PubMed ID
    22255168
    Related Resources

    Link to Article in PubMed

    ae974a485f413a2113503eed53cd6c53
    10.1109/IEMBS.2011.6090771
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